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AI models for remote object detection are vulnerable to both physical and digital attacks, research finds"We sought to address the lack of comprehensive studies on the robustness of deep learning models used in remote sensing tasks, particularly focusing on image classification and object detection.
Deep neural networks have gained fame for their capability to process visual information. And in the past few years, they have become a key component of many computer vision applications.
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Symmetry-Breaking Detection Enhances Object RecognitionThe proposed method enhanced object detection and image classification by adapting to these challenges, resulting in improved generalization and robustness in real-world visual tasks. Object ...
This article is part of our coverage of the latest in AI research. A new machine learning technique developed by researchers at Edge Impulse, a platform for creating ML models for the edge, makes ...
AI that uses sketches to detect objects within an image could boost tumor detection, and search for rare bird species. ScienceDaily . Retrieved May 30, 2025 from www.sciencedaily.com / releases ...
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